- Build the core backend systems that power Mural’s agent platform, including orchestration, durable execution, tool execution, memory, observability, and evaluation infrastructure.
- Design scalable services and APIs that allow AI agents to retrieve context, coordinate multi-step workflows, interact with Mural data, and act reliably on behalf of users.
- Develop the agent memory layer, including systems for conversation context, product context, retrieval, summarization, compaction, and long-term context management.
- Create infrastructure to monitor, debug, and improve agent behavior through traces, metrics, feedback loops, and offline evaluation.
- Translate complex, open-ended product needs into clear backend architectures, service boundaries, data models, and implementation plans that align technical capabilities with user value.
- Help define the technical direction for agentic AI at Mural, contributing to long-term architecture and strategy.
- Champion engineering excellence, mentoring others and establishing best practices for building reliable AI systems.